articleTop 1% cited
Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach
Construction and Building Materials · 2019 · Vol. 230 · pp. 117000–117000
De‐Cheng Feng✉(Southeast University)Zhentao Liu(Southeast University)Xiaodan Wang(Southeast University)Chen Yin(Southeast University)Jia-qi Chang(Southeast University)Dong-Fang Wei(Southeast University)Zhongming Jiang✉(Southwest University)
Innovative concrete reinforcement materialsConcrete Corrosion and DurabilityInfrastructure Maintenance and MonitoringCompressive strengthArtificial neural networkBoosting (machine learning)Computer scienceSupport vector machineTest dataMachine learningArtificial intelligenceMaterials science
Funding
- National Natural Science Foundation of China
- Natural Science Foundation of Jiangsu Province
Citations
785
FWCI
39.17
field-weighted impact
References
39
Percentile
100%
vs. same field & year
Citations per year
References
Modeling of strength of high-performance concrete using artificial neural networks
Cement and Concrete Research · 1998 · 1,349 citations
Emerging artificial intelligence methods in structural engineering
Engineering Structures · 2018 · 984 citations
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